记录与多个数据集的链接

Question

问题

fastLink 和 RecordLinkage 软件包在将记录A（行）从数据库A匹配到数据库B以及反之亦然方面表现出色。开发人员正在努力从仅匹配2个数据库扩展到多个数据库。 我给了here的简单例子。

同时，我们将如何匹配多个数据帧？ 例如，如果我有来自诊所A，B，C，D，E，F的患者的多个医疗记录，而我想将它们合并为一个。

可复制的示例：

dfA <- 
structure(list(fname = c("Jafar", "Nemo", "Simba", "Belle", "Nala", 
"Jasmine"), lname = c("Evil", "Water", "King", "Beauty", "Princess", 
"Princess"), gender = c("M", "M", "M", "F", "F", "F"), dob = c(1987, 
2000, 2011, 1989, 1970, 1989), city = c("Arabtown", "Atlantic", 
"Sahara", "Nice", "Sahara", "Arabtown")), row.names = c(NA, -6L
), class = c("tbl_df", "tbl", "data.frame"))
dfB <- 
structure(list(fname = c("Jafar Jr", "Nemo", "Simba", "Belle", 
"Nala", "Jasmine"), lname = c("Evil", "Waterson", "King", "Beauty", 
"Princess", "Princess of Arabtown"), gender = c("M", "M", "M", 
"F", "F", "F"), dob = c(NA, 2000, 2011, NA, NA, 1989), city = c("Arabtown", 
"Atlantica", "Sahara", "Nice-France", "Sahara", "Arabia")), row.names = c(NA, 
-6L), class = c("tbl_df", "tbl", "data.frame"))
dfC <- 
structure(list(fname = c("Jafar Jr", "Fishy", "Lion", "Belle", 
"Sarabi", "Jasmine"), lname = c("Evil", "Waterpal", "King", "Beauty", 
"Queen", NA), gender = c("M", "M", NA, "F", "F", "F"), dob = c(NA, 
2000, 2011, NA, 1940, 1989), city = c("Arabia", NA, "Sahara", 
"France", "Sahara", NA)), row.names = c(NA, -6L), class = c("tbl_df", 
"tbl", "data.frame"))
dfD <- 
structure(list(fname = c("Jafar Jr", "Nemo", "Simba", "Belle", 
"Sarabi", "Jasmine"), lname = c("Evil", "Waterson", "King", "Beast", 
"Queen", "Evil"), gender = c("M", "M", "M", "F", "F", "M"), dob = c(NA, 
2000, 2011, 1989, NA, 1989), city = c("Arabtown", "Atlantica", 
"Sahara", NA, "Sahara", "Arabtown")), row.names = c(NA, -6L), class = c("tbl_df", 
"tbl", "data.frame"))
dfE <- 
structure(list(fname = c("Jafar Jr", "Nemo", "Simba", "Belle", 
"Nala", "Aladdin"), lname = c("Evil", "Pateron", NA, "Gaston", 
NA, "Streetrat"), gender = c("M", NA, "M", "F", "F", "M"), dob = c(1987, 
NA, NA, NA, 1970, 1989), city = c("Arabtown", "Atlantica", "Sahara", 
"France", "Sahara", "Arabia")), row.names = c(NA, -6L), class = c("tbl_df", 
"tbl", "data.frame"))
dfF <- 
structure(list(fname = c("Jafar Jr", "Nemo", "Simba", "Belle", 
"Nala", "Al"), lname = c("Evil", "Waterson", "Dead", "Beauty", 
"Princess", "Streetrat"), gender = c("M", "M", NA, "F", "F", 
"M"), dob = c(1987, 2000, 2011, NA, NA, 1989), city = c("Arabia", 
"Atlantic", "Sahara", "Nice-France", "Sahara", "Arabia")), row.names = c(NA, 
-6L), class = c("tbl_df", "tbl", "data.frame"))

预期结果：

最后，我想要唯一标识的记录：

1 Jafar   Evil     M       1987 Arabtown
2 Nemo    Water    M       2000 Atlantic
3 Simba   King     M       2011 Sahara  
4 Belle   Beauty   F       1989 Nice    
5 Nala    Princess F       1970 Sahara  
6 Jasmine Princess F       1989 Arabtown
7 Sarabi   Queen    F       1940 Sahara
8 Aladdin  Streetrat M       1989 Arabia   

即使结果不像上面那么干净，也可以。 目标是从所有6条记录中找到一个统一记录，并且属于同一实体。 fastLink 和 RecordLinkage 都负责重复数据删除（删除重复项）。

我需要帮助的是关于处理两个以上数据库的想法/方法/方法。